An Ultralightweight Multidomain Feature Extraction Network With Cross Spatial–Spectral Attention for Hyperspectral Image Classification

The combination of convolutional neural networks and attention mechanisms effectively enhances feature representation capabilities in hyperspectral image (HSI) classification. However, most existing methods face great challenges in terms of parameter numbers and computational overhead, which hinders...

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書誌詳細

主要な著者:	Qinggang Wu, Chao Ma, Mengkun He, Zedong Wu, Qinge Wu
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
主題:	Cross spatial–spectral attention (CSSA) Gaussian neighbor pixel ReLU (GNReLU) activation hyperspectral image (HSI) classification lightweight networks multidomain feature extraction
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11303540/
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